Audio Generation based on Denoising Diffusion Implicit Models (DDIM)

diffusion model for Audio

Prerequests

Pytorch Transformers

Train a model

python3 main.py --config audio.yml --doc "test" --ni

Sampling from the model

Sampling from the sequence of audio that lead to the sample

You can edit the config file to adjust the num_samples and length(t_size).
See sampling in the config file

Use --sequence {number of intermediates} option.

If you want to get all samples, --sequence -1 or --sequence 0

python3 main.py --config audio.yml --doc "test" --sample --sequence 10 --timesteps 1000 --ni

References and Acknowledgements

@article{song2020denoising,
  title={Denoising Diffusion Implicit Models},
  author={Song, Jiaming and Meng, Chenlin and Ermon, Stefano},
  journal={arXiv:2010.02502},
  year={2020},
  month={October},
  abbr={Preprint},
  url={https://arxiv.org/abs/2010.02502}
}